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About

Panagiotis Stavropoulos is a leading researcher at the intersection of advanced manufacturing, robotics, and digital technologies, with a particular focus on robotic machining, additive manufacturing, and Industry 4.0 applications. His work spans digital twins, artificial intelligence in manufacturing, and process optimization, making him a pivotal figure in modernizing industrial production systems. Among his most influential contributions is his research on digital twins in Industry 4.0 (78 citations), which has helped establish frameworks for virtual process representation and real-time manufacturing intelligence. His life cycle assessment of integrated additive–subtractive concrete 3D printing (73 citations) demonstrates a rare breadth, bridging sustainability with cutting-edge fabrication methods. Stavropoulos has also made significant strides in robotic machining, tackling the persistent challenges of structural stiffness and chatter through simulation-based process planning, cutting force estimation via joint current signals, and in-process chatter detection — work that is accelerating industrial adoption of robots in milling operations. His development of OpenLMD, an open-source toolkit for large-scale metal additive manufacturing, reflects a commitment to accessible, community-driven innovation. Collectively accumulating nearly 300 citations, Stavropoulos's research offers students and engineers alike a rigorous, forward-thinking roadmap for intelligent, flexible, and sustainable manufacturing.